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Paper Citation Record · LEDGER

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.00659.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.00659 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:23:01.032626Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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  • verified fuzzy13
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93901944-9265-4be5-953a-ac3294388f15 · outbound

This paper cites Amortized Implicit Differentiation for Stochastic Bilevel Optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Reference 1

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no resolver link, observed 2026-08-12T05:23:00.935397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.935397Z digest=sha256:545a4787ab2794c3a3d6fea034b048f7f3184c310ad0b9fd647e3870cd7e2479

Observation 1e5c2a99-0115-483d-86b7-300f166804f2 · outbound

This paper cites Exponential convergence bounds using integral quadratic constraints.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Exponential convergence bounds using integral quadratic constraints

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.328354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.940457Z digest=sha256:cc4415a36bcd245a4751bb344394297fc796b9085a36be28d0d4dbd977388dfc

Observation af9c1fe8-447a-4d8a-998c-1a3f39959182 · outbound

This paper cites Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems

Reference 3

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no resolver link, observed 2026-08-12T05:23:00.944845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.944845Z digest=sha256:206fa9401a6ba81f7a4be3dd29707ea5f436aa13222929cfb52eb7daa839c34a

Observation 80be432e-b9f1-456e-b506-1ee3bcba43f1 · outbound

This paper cites A single-timescale method for stochastic bilevel optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A single-timescale method for stochastic bilevel optimization

Reference 4

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no resolver link, observed 2026-08-12T05:23:00.948634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.948634Z digest=sha256:428aae43c2e62adeedf34d97a8f95481644dea8f0e053db2211351689581d43e

Observation ff8317f3-bfee-4182-a976-17eecae6b1e6 · outbound

This paper cites Feedback systems: input-output properties.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Feedback systems: input-output properties

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.301425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.952844Z digest=sha256:1cb00e3b1d93f2a5d50af6c9121e9e0989f5824a75c7deb5e89b5afe2a1376e9

Observation c0bbcf94-21c4-4032-8fac-91432d3fe801 · outbound

This paper cites A course in robust control theory: a convex approach, volume 36.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A course in robust control theory: a convex approach, volume 36

Reference 6

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raw_fallback, observed 2026-08-12T05:23:01.289157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.957214Z digest=sha256:9a43173003ffd2530dda5fc4cdc647436806f76ca15c3c86169c2f952db47e05

Observation f582e691-b981-4cab-9013-4f1e967db832 · outbound

This paper cites Forward and reverse gradient-based hyperparameter optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Forward and reverse gradient-based hyperparameter optimization

Reference 7

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no resolver link, observed 2026-08-12T05:23:00.961778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.961778Z digest=sha256:d517703bd4876b9ee281b49226ce886be6c96542721f4607232ee4ab4bb89101

Observation 20bedd64-4b02-4ab6-b52c-85b41f8c8292 · outbound

This paper cites Bilevel programming for hyperparameter optimization and meta-learning.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Bilevel programming for hyperparameter optimization and meta-learning

Reference 8

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no resolver link, observed 2026-08-12T05:23:00.965428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.965428Z digest=sha256:f6b7d796477c510db2c68bf391fa2ce7f7989b7c1f61045abd3f3b094581ab55

Observation a2ac3841-d3ed-4d65-8064-eb48d7fcf43d · outbound

This paper cites Approximation Methods for Bilevel Programming.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Approximation Methods for Bilevel Programming

Reference 9

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unresolved
no resolver link, observed 2026-08-12T05:23:00.969258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.969258Z digest=sha256:dd3f549108f6bce20156eab23841edab0f44651b53ecee6c511134ed9016146e

Observation 04e5a3d2-7cc8-4b80-be57-6a1aa2748c13 · outbound

This paper cites A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and application to actor-critic.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and application to actor-critic

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.974097Z digest=sha256:d3d1167622a3c4f6f390d0f3b89d237632c85637b5bdbb67fafaba377d59901c

Observation 60d43e23-af05-48f3-8892-31e5c9ff6e15 · outbound

This paper cites Control interpretations for first-order optimization methods.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Control interpretations for first-order optimization methods

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.255325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.977871Z digest=sha256:ba85db2b45bcd097c8e7b6130a90ed07a2f937b46ceef5840ec28aeaaba46220

Observation b6e079d4-da48-4f39-9035-8e2ddf5d0f4f · outbound

This paper cites Dissipativity theory for nesterov’s accelerated method.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Dissipativity theory for nesterov’s accelerated method

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.242134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.982040Z digest=sha256:a1a85477fee35e26318ea1325623514c3a426ec0868f90fb6fe35546cef845ca

Observation d2c36172-b171-4435-bad2-722c9ced63c9 · outbound

This paper cites Metapoison: Practical general-purpose clean-label data poisoning.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Metapoison: Practical general-purpose clean-label data poisoning

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.229083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.985863Z digest=sha256:525859ae7a90f841d77f5ee2188ac354eac785bb8c7891c5001b0646230bd89e

Observation da0a09f8-53bc-4a1c-aedb-c00aeba88f9b · outbound

This paper cites Lower bounds and accelerated algorithms for bilevel optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Lower bounds and accelerated algorithms for bilevel optimization

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.216471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:00.989798Z digest=sha256:0c96daa160fbe59c79145c431559fe7a3c48d0ce5e4a97816a87df3f0c2ef70d

Observation 77e4f8f9-9c43-41ea-bc5c-1d68da79f02a · outbound

This paper cites Bilevel optimization: Convergence analysis and enhanced design.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Bilevel optimization: Convergence analysis and enhanced design

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.993513Z digest=sha256:3035b3b633c45e1663e35321f87d65c5b9201ef25c4c644716ea02ac6f0db075

Observation effdb644-8c21-4e5b-bc2d-06e5cd3750b7 · outbound

This paper cites A near-optimal algorithm for stochastic bilevel optimization via double-momentum.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A near-optimal algorithm for stochastic bilevel optimization via double-momentum

Reference 16

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no resolver link, observed 2026-08-12T05:23:00.997209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:00.997209Z digest=sha256:8238c22545e39c2d21cea9c45d47a7f32c76e601098763b85b09d91f338b80ba

Observation c4466d0b-3936-455e-a7de-5f192e9b5532 · outbound

This paper cites Analysis and design of optimization algorithms via integral quadratic constraints.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Analysis and design of optimization algorithms via integral quadratic constraints

Reference 17

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no resolver link, observed 2026-08-12T05:23:01.000950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:01.000950Z digest=sha256:9c6c87d02d9b847f09cabb2bae84371e52afd0d2f0f5c3ef9e12ca605242555a

Observation 7b9ddbd2-c629-45af-9776-37346beaf3a0 · outbound

This paper cites A fully single loop algorithm for bilevel optimization without hessian inverse.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A fully single loop algorithm for bilevel optimization without hessian inverse

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.181200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.005376Z digest=sha256:f7499c78339b279d427df767a4dce04c61ef767b162c79a32bb3573ba699da5e

Observation 7a855a81-ea1c-499f-95e2-c5bc546987a3 · outbound

This paper cites Inducing equilibria via incentives: Simultaneous design-and-play ensures global convergence.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Inducing equilibria via incentives: Simultaneous design-and-play ensures global convergence

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.167375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.008990Z digest=sha256:2e24febf7d28ca46865835430cc410f790ba4a45170f2d62e6be21c6533c9dca

Observation f86a3099-090a-4ede-9f1f-daf162497a86 · outbound

This paper cites On lp-hyperparameter learning via bilevel nonsmooth optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem On lp-hyperparameter learning via bilevel nonsmooth optimization

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.154987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.012732Z digest=sha256:e1d640c3e8c8b32ac7035ab657c0e1e5b55156c815e0f36a002c706c10b3ae84

Observation b5f77084-c586-4ef0-a523-90c3ebcc1c0d · outbound

This paper cites Adversarial Training Should Be Cast as a Non-Zero-Sum Game.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Adversarial Training Should Be Cast as a Non-Zero-Sum Game

Reference 21

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no resolver link, observed 2026-08-12T05:23:01.016654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:23:01.016654Z digest=sha256:b640176ebd66c915cf5fec595738a71e3d3e466deefbab8eb123a26e04ae24ba

Observation 684e6851-c877-4d77-8381-8fc88c1b772b · outbound

This paper cites Hydra: Pruning adversarially robust neural networks.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Hydra: Pruning adversarially robust neural networks

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.142788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.020613Z digest=sha256:d590efafe06b58834aa439c81a808c272ffbf481b9c8bdb31f53c565d5aff945

Observation 410be691-5f44-4f87-90e0-cf40d1532f9c · outbound

This paper cites Reward design for driver repositioning using multi-agent reinforcement learning.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Reward design for driver repositioning using multi-agent reinforcement learning

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.130647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.024755Z digest=sha256:715de3fb21538220afc172cfdc929821806b09b3343ed745dd00f3b82c1baaaa

Observation 0b8ccdd7-18f9-46c5-8a73-c0046fc213d3 · outbound

This paper cites A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning

Reference 24

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local_arxiv, observed 2026-08-12T05:23:01.071119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.028552Z digest=sha256:b04bad89055000cdaedbac0cf36acbbf2875422642a3a8e5d7ea35762702e28f

Observation 2361136e-5563-4855-bfcc-67822d9fb63a · outbound

This paper cites Advancing model pruning via bi-level optimization.

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem Advancing model pruning via bi-level optimization

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T05:23:01.118453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:23:01.032626Z digest=sha256:1306a9a8ff0adcdc630893afd9234fee0a348c3801332433d768013bf1228976

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